The Juvenile Arthritis Multidimensional Assessment Report (JAMAR) is a new parent/patient reported outcome measure that enables a thorough assessment of the disease status in children with juvenile idiopathic arthritis (JIA). We report the results of the cross-cultural adaptation and validation of the parent and patient versions of the JAMAR in the Castilian Spanish language. The reading comprehension of the questionnaire was tested in 10 JIA parents and patients. Each participating centre was asked to collect demographic, clinical data and the JAMAR in 100 consecutive JIA patients or all consecutive patients seen in a 6-month period and to administer the JAMAR to 100 healthy children and their parents. The statistical validation phase explored descriptive statistics and the psychometric issues of the JAMAR: the three Likert assumptions, floor/ceiling effects, internal consistency, Cronbach's alpha, interscale correlations, test-retest reliability and construct validity (convergent and discriminant validity). A total of 526 JIA patients (8.6% systemic, 49.4% oligoarticular, 18.2% RF negative polyarthritis, 23.8% other categories) and 78 healthy children, were enrolled in six centres. The JAMAR components discriminated well healthy subjects from JIA patients. All JAMAR components revealed good psychometric performances. In conclusion, the Castilian Spanish version of the JAMAR is a valid tool for the assessment of children with JIA and is suitable for use both in routine clinical practise and clinical research.
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http://dx.doi.org/10.1007/s00296-018-3976-6 | DOI Listing |
Sci Data
December 2024
Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040, Madrid, Spain.
The screening of Parkinson's Disease (PD) through speech is hindered by a notable lack of publicly available datasets in different languages. This fact limits the reproducibility and further exploration of existing research. To address this gap, this manuscript presents the NeuroVoz corpus consisting of 112 native Castilian-Spanish speakers, including 58 healthy controls and 54 individuals with PD, all recorded in ON state.
View Article and Find Full Text PDFSci Data
July 2024
Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040, Madrid, Spain.
Many research articles have explored the impact of surgical interventions on voice and speech evaluations, but advances are limited by the lack of publicly accessible datasets. To address this, a comprehensive corpus of 107 Spanish Castilian speakers was recorded, including control speakers and patients who underwent upper airway surgeries such as Tonsillectomy, Functional Endoscopic Sinus Surgery, and Septoplasty. The dataset contains 3,800 audio files, averaging 35.
View Article and Find Full Text PDFComput Biol Med
November 2023
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, 21218, MD, United States of America.
Speech-based approaches for assessing Parkinson's Disease (PD) often rely on feature extraction for automatic classification or detection. While many studies prioritize accuracy by using non-interpretable embeddings from Deep Neural Networks, this work aims to explore the predictive capabilities and language robustness of both feature types in a systematic fashion. As interpretable features, prosodic, linguistic, and cognitive descriptors were adopted, while x-vectors, Wav2Vec 2.
View Article and Find Full Text PDFActas Urol Esp (Engl Ed)
October 2023
Unidad de Salud Pública, Prevención y Promoción de la Salud, Área de Gestión Sanitaria Sur de Sevilla, Hospital Universitario Virgen de Valme, Sevilla, España. Electronic address:
Objective: We propose to update bladder cancer mortality rates in Spain from 1980 to 2021, by sex and age-group, by autonomous community (AC).
Materials And Methods: The public online databases of the National Statistical Institute were used to obtain data on population and bladder cancer mortality. Age-standardised mortality rates (ASMRs), all ages and truncated (<75 and ≥75) were estimated and reported as rates per 100,000 persons.
Front Neurol
March 2023
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, United States.
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